Browse Topic: Real-time data
Tracking of energy consumption has become more difficult as demand and value for energy have increased. In such a case, energy consumption should be monitored regularly, and the power consumption want to be reduced to ensure that the needy receive power promptly. Our objective is to identify the energy consumption of an electric vehicle from battery and track the daily usage of it. We have to send the data to both the user and provider. We have to optimize the power usage by using anomaly detection technique by implementing deep learning algorithms. Here we are going to employ a LSTM auto-encoder algorithm to detect anomalies in this case. Estimating the power requirements of diverse locations and detecting harmful actions are critical in a smart grid. The work of identifying aberrant power consumption data is vital and it is hard to assure the smart meter’s efficiency. The LSTM auto-encoder neural network technique is used here for predicting power consumption and to detect anomalies
A tactile perception system provides human-like multimodal tactile information to objects like robots and wearable devices that require tactile data in real time. The research team developed a real-time and multi-modal tactile detection system by mimicking the principle by which various types of tactile information is perceived by a variety of sensory receptors in the human skin and is transmitted to the brain in real time
The development of Digital Twin (DT) has become popular. A dominant description of DT is that it is a software representation that mimics a physical object to portray its real-world performance and operating conditions of an asset. It uses near real-time data captured from the asset and enables proactive optimal operation decisions. There are many other definitions of DT, but not many explicit evaluations of DT performance found in literature. The authors have an interest to investigate and evaluate the quality and stability of appropriate DT techniques in real world aircraft Maintenance, Repair, and overhaul (MRO) activities. This paper reviews the origin of DT concept, the evolution and development of recent DT technologies. Examples of DTs in aircraft systems and transferable knowledge in related vehicle industries are collated. The paper contrasts the benefits and bottlenecks of the two categories of DT methods, Data-Driven (DDDT) and Model-Based (MBDT) models. The paper evaluates
Magna's full-vehicle expertise, systems savvy, and start-up mindset are opening new mobility markets - with extra pepperoni. Pizza is a subject that puts a smile on most faces, but for Matteo Del Sorbo, the delight extends far beyond the actual pie. “We’re having a lot of fun with this program!” exclaimed Del Sorbo, the executive VP at Magna International and global lead for the Tier 1's New Mobility enterprise, in an interview with SAE Media. “It's demonstrating our ability to innovate and move fast. And it's opening another new market that we very much want to play in
Kontron and Intel experts explain how rugged, modular COM Express solutions reduce complexity and allow retrofit of autonomous systems on heavy mobile equipment. Continually transformed with more than a century's advances in capabilities, hydraulics and fuel efficiency, today's heavy mobile equipment must also become more intelligent and better connected. Technologies such as artificial intelligence (AI), deep learning, big data, GPS, 5G and computer vision are proving their mettle - empowering far more efficient ways of carrying out unique and demanding tasks via advanced telematics, advanced driver assistance systems (ADAS) or varying levels of autonomy. Heavy mobile equipment (HME) that can gather and apply data in real time operates and makes decisions in ways that humans cannot. This evolution toward automation promises not only leadership for manufacturers of more advanced systems, but also increased safety, economy, efficiency and ecological compatibility
The purpose of the OBIGGS is to reduce the amount of oxygen in the fuel tank to a 'safe' level to significantly reduce the possibility of ignition of fuel vapors. There are circumstances where equipment of OBIGGS like ASMs, Ozone Converter Catalysts, etc. gets degraded earlier than the provided MTBF. This paper studies the present conventional systems limitations, like due to memory constraints only the faults and limited shop data are being recorded, hence there is no provision to store/report the stream of data margins with which we can pass/fail the performance tests. This paper also explains how a new design of the Connected concept achieves access to real-time data from the system and how the data is pushed to the cloud network. A connected solution for the OBIGGS is the technology to access real-time data (Systems LRUs Performance data and Custom data Parameters) from the Systems controller data bus, this data is further applied to AI/ML methods for predictive/prognostics
Air Cargo is one of the major modes of cargo transportation in the world. It is helping to transport goods swiftly across the globe during emergencies like pandemic, evacuation, and natural calamities etc. It plays a key role in economy of a country by exporting and importing goods across the globe. This business is growing every YOY with increase in demand for e-Commerce and globalization. It is also important to keep up the efficiency of the system as the business demand grows. This paper focuses on Artificial Intelligence (AI) implementation can reduce the inefficiency and inconsistency due to the manual intervention in cargo operation in different areas. The major Implementation study area of AI in this paper include implementing in Cargo load planning to reduce the human dependency and error, ground handling with the help of autopiloting vehicle which can operate in any weather condition, sequence of loading Unit Load Devices (ULD’s) based on priority, operating control unit to
Engineers have created a flexible electronic sensing patch that can be sewn into clothing to analyze sweat for multiple markers. The patch could be used to diagnose and monitor acute and chronic health conditions or to monitor health during athletic or workplace performance. The device consists of special sensing threads, flexible electronic components, and wireless connectivity for real-time data acquisition, storage, and processing
Operational Technology (OT) networks are historically “air-gapped” from the rest of the networked world. But pressure is mounting for manufacturers to leverage real-time data exchanges from outside their controlled environments to increase productivity and efficiency. One major concern for manufacturers is how safe and secure it is to open the OT network’s doors to the internet
The integration of sensors, actuators, and real-time control in transportation systems enables intelligent system operation to minimize energy consumption and maximize occupant safety and vehicle reliability. The operating cycle of military ground vehicles can be on- and off-road in harsh weather and adversarial environments, which demands continuous subsystem functionality to fulfill missions. Onboard diagnostic systems can alert the operator of a degraded operation once established fault thresholds are exceeded. An opportunity exists to estimate vehicle maintenance needs using model-based predicted trends and eventually compiled information from fleet operating databases. A digital twin, created to virtually describe the dynamic behavior of a physical system using computer-mathematical models, can estimate the system behavior based on current and future operating scenarios while accounting for past effects. In this manner, the collection of real-time data of the physical vehicle can
Mechanical systems accomplish their tasks better when enhanced with cyber technologies. With the rapidly escalating desire for high efficiency, optimization and flexibility, these physical systems ought to be integrated with cyber technologies that enhance exhaustive manipulation of resources and productivity. The gateway for such a synergetic integration can be referred to as digitalization. Details regarding the digitization of a High-altitude Simulation chamber are discussed thoroughly in this paper. The simulation chamber was originally designed and developed as a test bench to study the characteristics of alternative fuels used in the engines of handheld tools in different altitudes and thermal conditions. It encompasses all the possible realistic temperature variations with altitude raising to 3500m above sea level. Since the testbed’s effectiveness is highly dependent on achieving a combination of desired temperature and altitude values to maintain them for a defined period
This SAE Aerospace Information Report (AIR) provides a review of real-time modeling methodologies for gas turbine engine performance. The application of real-time models and modeling methodologies are discussed. The modeling methodologies addressed in this AIR concentrate on the aerothermal portion of the gas turbine propulsion system. Characteristics of the models, the various algorithms used in them, and system integration issues are also reviewed. In addition, example cases of digital models in source code are provided for several methodologies
In 1901, a patent was issued to Ransom E. Olds for the idea of a continuously moving assembly line, which he used to build the first Oldsmobile vehicles. In 1913, Henry Ford improved the concept by adding moving conveyor belts and with these two innovations, the time needed to assemble a car went from 1½ days to 1½ hours. The modern assembly factory was born
The U.S. Food and Drug Administration’s (FDA) multifaceted responsibilities require continuous monitoring of trends in science and technology for the advancement of public health. In early 2020, the agency saw investigational new drug (IND) applications skyrocket to 3,806 — a significant increase compared to the previous year when they received only 166 applications during the same months.1
Manufacturing automation is now well into the Industry 4.0 era. New machine control and drive technologies are rapidly being introduced to provide more flexibility and productivity as well as smarter, more sophisticated use of real-time, actionable data on machine performance
The bottom of a lake or an ocean is an ever-changing place. Water flows back and forth in shifting currents. Sunlight heats the sand and darkness cools it back down. The sand itself moves, unveiling rocks and man-made objects of peculiar shape underneath
Now-a-days, Advanced driver-assistance systems (ADAS) is equipping cars and drivers with advance information and technology to make them become aware of the environment and handle potential situations in better way semi-autonomously. High-quality training and test data is essential in the development and validation of ADAS systems which lay the foundation for autonomous driving technology. ADAS uses the technology like radar, vision and combinations of various sensors including LIDAR to automatize dynamic driving tasks like steering, braking, and acceleration of vehicle for controlled and safe driving. And to integrate these advance technologies, the ADAS needs labeled data to train the algorithm to detect the various objects and moments of driver. Image annotation is one the well-known service to create such training data for computer vision. There are number of open source annotated datasets available viz. COCO, KITTI etc. But these datasets are limited to either US or European road
For as long as there has been warfare, military field commanders have tried to extend their range of vision, gather and interpret critical intelligence, and gain strategic and tactical advantages through real-time, uncompromised communications
In the final few minutes of a spacecraft landing, it is moving at hypersonic speed through many layers of atmosphere. Knowing the air density outside the vehicle can have a substantial effect on its angle of descent and ability to hit a specific landing spot. But air density sensors that can withstand the harsh hypersonic conditions are uncommon. Researchers developed an algorithm that can run onboard a vehicle, providing important real-time data to aid in steering the craft, particularly during the crucial entry, descent, and landing stage
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